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Researcher · Huawei Technologies (China) · China

Dandan Tu

Dandan Tu publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as COVID-19 diagnosis using AI, Topic Modeling and Radiomics and Machine Learning in Medical Imaging.

ORCID 0000-0003-1588-7831 OpenAlex
World rank
#1,904,837
of 7,710,434 ranked researchers
Rank in China
#291,547
of 978,568
Works
26
Citations
651
Citations per work
25.0
h-index
10
i10-index 11Top 42% in Artificial Intelligence
Dandan Tu

What does Dandan Tu research?

Dandan Tu's work is mostly in Computer Science (53%), Medicine (37%).

Physical Sciences: 14 works · 53.4% of their workComputer Science: 14 works · 53.4% of their workArtificial Intelligence: 9 works · 35.6% of their workComputer Vision and Pattern Recognition: 5 works · 17.8% of their workHealth Sciences: 10 works · 36.9% of their workMedicine: 10 works · 36.9% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 20.5% of their workPulmonary and Respiratory Medicine: 2 works · 6.8% of their workHealth Informatics: 1 works · 5.5% of their workPhysiology: 1 works · 4.1% of their workEverything else: 3 works · 9.7% of their workTHEIR WORKDandan Tu26works
Physical Sciences53%Health Sciences37%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1453.4%
    1. Medicine1036.9%
  3. Everything else39.7%
  1. 1Artificial Intelligence36% of their works
  2. 2Radiology, Nuclear Medicine and Imaging20% of their works
  3. 3Computer Vision and Pattern Recognition18% of their works
  4. 4Pulmonary and Respiratory Medicine7% of their works
  5. 5Health Informatics6% of their works
  6. 6Physiology4% of their works

Research topics

Which keywords describe Dandan Tu's research?

The keywords of their largest research topics: Medical Imaging, Deep Learning, Precision Medicine, Machine Learning, Convolutional Neural Networks, Artificial Intelligence, Predictive Modeling and Chest X-Ray.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 24 words, with their numbers
  1. Medical Imaging193 topics
  2. Deep Learning173 topics
  3. Precision Medicine153 topics
  4. Machine Learning143 topics
  5. Convolutional Neural Networks132 topics
  6. Artificial Intelligence122 topics
  7. Predictive Modeling112 topics
  8. COVID-1981 topic
  9. Chest X-Ray81 topic
  10. Healthcare82 topics
  11. Neural Networks71 topic
  12. Quantitative Analysis71 topic
  13. Radiomics71 topic
  14. Word Representation71 topic
  15. Neural Machine Translation61 topic
  16. Statistical Machine Translation61 topic
  17. Image Recognition51 topic
  18. Object Detection51 topic
  19. Clinical Decision Support41 topic
  20. Electronic Health Records41 topic
  21. Ethical Challenges41 topic
  22. Patient Similarity41 topic
  23. Differential Privacy31 topic
  24. Federated Learning31 topic

Where does Dandan Tu work?

Dandan Tu's main affiliation in the publication record is Huawei Technologies (China), China.

How many publications and citations does Dandan Tu have?

OpenAlex counts 26 works and 651 citations for Dandan Tu, an h-index of 10, ranking #1,904,837 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Dandan Tu

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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